Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/41594
Campo DC Valoridioma
dc.contributor.authorGonzález-Betancor, Sara M.en_US
dc.contributor.authorDorta-González, Pabloen_US
dc.contributor.otherGonzalez-Betancor, Sara
dc.contributor.otherDorta-Gonzalez, Pablo
dc.date.accessioned2018-07-17T17:53:01Z-
dc.date.available2018-07-17T17:53:01Z-
dc.date.issued2017en_US
dc.identifier.issn1468-4527en_US
dc.identifier.urihttp://hdl.handle.net/10553/41594-
dc.description.abstractThe two most used citation impact indicators in the assessment of scientific journals are, nowadays, the impact factor and the h-index. However, both indicators are not field normalized (vary heavily depending on the scientific category). Furthermore, the impact factor is not robust to the presence of articles with a large number of citations, while the h-index depends on the journal size. These limitations are very important when comparing journals of different sizes and categories. The purpose of this paper is to propose an alternative citation impact indicator, based on the percentage of highly cited articles in the journal. Design/methodology/approach-This alternative indicator is empirically compared with the impact factor and the h-index, considering different time windows and citation percentiles (levels of citation for considering an article as highly cited compared to others in the same year and category). The authors use four journal categories (Clarivate Analytics Web of Science) which are quite different according to the publication profiles and citation levels (Information Science & Library Science, Operations Research & Management Science, Ophthalmology, and Physics Condensed Matter). Findings-After analyzing 20 different indicators, depending on the citation percentile and the time window in which citations are counted, the indicator that seems to best homogenize the categories is the one that considers a time window of two years and a citation level of 10 percent. Originality/value-The percentage of highly cited articles in a journal is field normalized (comparable between scientific categories), independent of the journal size and also robust to the presence of articles with a high number of citations.en_US
dc.languageengen_US
dc.relation.ispartofOnline Information Reviewen_US
dc.sourceOnline Information Review[ISSN 1468-4527],v. 41, p. 398-411en_US
dc.subject110501 Método Científicoen_US
dc.subject550512 Otras (Especificar)en_US
dc.subject.otherCitation analysisen_US
dc.subject.otherH-indexen_US
dc.subject.otherImpact factoren_US
dc.subject.otherCitation impact indicatoren_US
dc.subject.otherJournal assessmenten_US
dc.subject.otherPercentage of highly cited articlesen_US
dc.titleAn indicator of the impact of journals based on the percentage of their highly cited publicationsen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticlees
dc.identifier.doi10.1108/OIR-01-2016-0008
dc.identifier.scopus85019760531
dc.identifier.isi000404818800007
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85019760531-
dcterms.isPartOfOnline Information Review
dcterms.sourceOnline Information Review[ISSN 1468-4527],v. 41 (3), p. 398-411
dc.contributor.authorscopusid56769959100
dc.contributor.authorscopusid6506711531
dc.description.lastpage411-
dc.identifier.issue3-
dc.description.firstpage398-
dc.relation.volume41-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000404818800007-
dc.contributor.daisngid5108546
dc.contributor.daisngid1526323
dc.identifier.investigatorRIDP-8315-2015
dc.identifier.investigatorRIDC-6425-2009
dc.date.coverdateEnero 2017
dc.identifier.ulpgces
dc.description.sjr0,625
dc.description.jcr1,675
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
dc.description.ssciSSCI
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR Análisis interdisciplinar de retos sociales-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-2209-1922-
crisitem.author.orcid0000-0003-0494-2903-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameGonzález Betancor, Sara María-
crisitem.author.fullNameDorta González, Pablo-
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